成像MIMO通信中信道容量研究

Study on channel capacity in imaging MIMO communication

成像MIMO是实现高速、远距离可见光通信的新型方式。由不完美对焦或镜头抖动造成的成像模糊会大大降低成像质量、产生空间码间串扰(SISI),进而影响通信效率。建立了基于成像MIMO的通信模型,对成像MIMO通信系统中的噪声和信道容量进行了分析,得出了该模型下的信道容量和信噪比与收发端距离、接收单元数量的关系,分析了SISI对信噪比和信道容量的影响。此外,为减小SISI对信道容量的影响,对接收阵列单元进行了优化,得到了使信道容量达到最佳的接收单元数量和尺寸。

Imaging MIMO is a novel method to realize high-speed long-distance visible light communication （VLC）. Lens blur due to focus imperfection or jerks can significantly depreciate the image quality, produce spatial inter-symbol interference （SISI）, and further affect the communication efficiency. A communication model based on visual MIMO is introduced and the noise and channel capacity of visual MIMO system are analyzed. The channel capacity and signal noise ratio （SNR） of established channel model vs. transceiver distance and receiver units is derived and the effect of SISI on channel capacity is analyzed. Moreover optimizing the size of receiver units can reduce the effect of SISI.